Building the genetic learning rule for adaptive vector quantization in neural networks

C.H. Lee, Stephanie See · 2002

We present a new unsupervised learning algorithm by means of incorporating the genetic algorithm idea into the neural networks for adaptive vector quantisation. From the simulations, the model can cluster the noisy data and recall the patterns accurately.>

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